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Database & Data Management · head to head

Firebolt vs TimescaleDB

Firebolt logo

Firebolt

Database & Data Management

Sub-second analytics at cloud data warehouse scale

From
$1.84/hour
Rated
-
TimescaleDB logo

TimescaleDB

Database & Data Management

Time-series database built on PostgreSQL for real-time analytics

From
Free
Rated
-

The short version

  • Only TimescaleDB has a free tier, so it costs nothing to try first.
  • Each has a real cost: Firebolt compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • They diverge on capability: Firebolt covers Sub-second Queries, TimescaleDB covers Time-series Optimization.

Where they differ

Only the attributes on which Firebolt and TimescaleDB actually diverge.

Attributes where Firebolt and TimescaleDB differ
AttributeFireboltTimescaleDB
Starting price$1.84/hourFree
Pricing modelusage-basedUnknown
Free tierNoYes
PlatformsCloud (AWS, GCP, Azure preview), Docker, KubernetesLinux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)
Founded20192012

Identical on both: user rating (Not yet rated), category (Database & Data Management).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Firebolt

  • Sub-second Queries
  • Sparse Indexes
  • Data Pruning
  • Decoupled Storage/Compute
  • SQL Support
  • Semi-structured Data
  • Workload Isolation
  • Airflow

Only in TimescaleDB

  • Time-series Optimization
  • PostgreSQL Extension
  • Automatic Partitioning
  • Continuous Aggregates
  • Native Compression
  • Full SQL Support
  • Real-time Analytics
  • PostgreSQL

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

Firebolt

  • Data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirementsnot TimescaleDB
  • Real-time business intelligence platforms requiring ACID transactions and snapshot isolationnot TimescaleDB
  • Applications needing vector search on analytical data for similarity queriesnot TimescaleDB

TimescaleDB

  • Monitoringnot Firebolt
  • IoT datanot Firebolt
  • Financial datanot Firebolt
  • Log analyticsnot Firebolt
  • Observabilitynot Firebolt

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Firebolt

  • Compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop
  • Storage pass-through charged at $0.0264/GB monthly on compressed data; uncompressed storage could exceed this
  • Azure deployment currently in Preview status; production recommendations unclear
  • Vector indexes limited to float arrays; other data types require alternative indexing strategies
  • Free tier credits ($200) limited; no perpetual free tier for production use

TimescaleDB

  • Inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • Operational complexity increases significantly at scale, requiring expertise in chunk tuning and autovacuum management
  • Bloom filter indexes on compressed columns can return incorrect query results before upgrade
  • PostgreSQL 15 support ending June 2026, forcing mandatory upgrades to PostgreSQL 16 or later

Pricing, plan by plan

Firebolt

$1.84/hour

No published plan breakdown. See the Firebolt review.

TimescaleDB

Free
  • Open SourceFree
    • Self-hosted TimescaleDB
    • MIT-licensed core
    • Full PostgreSQL compatibility
  • Scale Plan (Cloud)$36/month
    • Compute and storage charges
    • Multi-node HA
    • Unlimited VPCs

Which should you pick?

Choose Firebolt if

  • You need sub-second queries.
  • You work on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes.
  • You also want sparse indexes.

Choose TimescaleDB if

  • You need time-series optimization.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
  • You also want postgresql extension.

Questions people ask

Is Firebolt or TimescaleDB better?
Neither clearly leads. Firebolt starts at $1.84/hour and TimescaleDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Firebolt or TimescaleDB?
TimescaleDB has a free tier; the other does not. Paid plans start at $1.84/hour for Firebolt and Free for TimescaleDB.
Does Firebolt or TimescaleDB run on more platforms?
Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes. TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
Can I use TimescaleDB for free?
Yes. TimescaleDB has a free tier, so you can try it without paying. Firebolt starts at $1.84/hour.
What is Firebolt best used for?
Firebolt is most often used for data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirements, real-time business intelligence platforms requiring acid transactions and snapshot isolation, applications needing vector search on analytical data for similarity queries. Of those, data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirements and real-time business intelligence platforms requiring acid transactions and snapshot isolation are not what TimescaleDB is typically brought in for.
What can Firebolt do that TimescaleDB cannot?
Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Both handle Web support.

Answered from the vendors’ own pages

TimescaleDB: Is TimescaleDB free?

Yes. TimescaleDB is free and open source under the Timescale License. The managed cloud service offers a free trial with $1,000 in credits expiring in 30 days.

Source
TimescaleDB: What database does TimescaleDB run on top of?

TimescaleDB is a PostgreSQL extension that runs on top of PostgreSQL. You retain full PostgreSQL compatibility including SQL queries, transactions, and ecosystem tools.

Source
TimescaleDB: How much can TimescaleDB compress data?

TimescaleDB offers transparent columnar compression that can reduce storage by up to 95%. Newer data remains in row-oriented format for fast writes, while older data is automatically compressed to the column store.

Source
TimescaleDB: Does TimescaleDB require manual partitioning?

No. TimescaleDB handles automatic time-based partitioning through hypertables. Data is automatically chunked based on time intervals, requiring no manual partition management.

Source
TimescaleDB: What PostgreSQL versions does TimescaleDB support?

As of October 2025, TimescaleDB requires PostgreSQL 16 or greater. PostgreSQL 15 support will end with the June 2026 release, after which all instances must upgrade to PostgreSQL 16.

Source

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